A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of MRI images through deep learning is important for early treatment and ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a ...

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The Senate confirmed Mullin in a 54-45 vote, with two Democrats voting for him and one Republican opposing his nomination.

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Scientists from Toronto’s University Health Network developed an AI algorithm capable of accurately predicting heart failure based on smartwatch data.

A new portfolio-based scheduler for 3D printing could lead to denser, safer builds and reducing the number of plates used.

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Good afternoon, everyone, and thank you for joining us today. 2025 was a year of exceptional execution, one that proved the ...